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Showing 1 to 1 of 1 for “"Omnisig"”.
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Utilizing GAN and Sequence Based LSTMs on Post-RF Metadata for Near Real Time Analysis
Wireless anomaly detection is a mature field with several unique solutions. This thesis aims to describe a novel way of detecting wireless anomalies using metadata analysis based methods. The metadata is processed and analyzed by a LSTM based Autoencoder and a LSTM based feature analyzer to produce …